Torc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. The Senior ML Engineer - Offline Perception will design and implement object detection and tracking modules, guide project execution, and enhance data processing capabilities to support analytics models.
Responsibilities:
- Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
- Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution
- Stay up to date with the latest developments in AI and ML for autonomous driving
- Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining
- Documentation of created applications
- Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows
- Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation
- Measure and track auto labeling quality to meet internal customer requirements
- Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner
- Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety
- Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes
- Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members